EP1652477A1 - Ultrasonographe, dispositif de traitement d'image ultrason et méthode de traitement d'image ultrason - Google Patents

Ultrasonographe, dispositif de traitement d'image ultrason et méthode de traitement d'image ultrason Download PDF

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Publication number
EP1652477A1
EP1652477A1 EP05745493A EP05745493A EP1652477A1 EP 1652477 A1 EP1652477 A1 EP 1652477A1 EP 05745493 A EP05745493 A EP 05745493A EP 05745493 A EP05745493 A EP 05745493A EP 1652477 A1 EP1652477 A1 EP 1652477A1
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Prior art keywords
phase
time
moving region
velocity
ultrasonic
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EP05745493A
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German (de)
English (en)
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EP1652477B1 (fr
EP1652477A4 (fr
Inventor
Yasuhiko c/o Intell. Prop. Div. ABE
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Toshiba Corp
Canon Medical Systems Corp
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Toshiba Corp
Toshiba Medical Systems Corp
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/52Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00
    • G01S7/52017Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00 particularly adapted to short-range imaging
    • G01S7/52053Display arrangements
    • G01S7/52057Cathode ray tube displays
    • G01S7/52071Multicolour displays; using colour coding; Optimising colour or information content in displays, e.g. parametric imaging
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/08Clinical applications
    • A61B8/0883Clinical applications for diagnosis of the heart
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/48Diagnostic techniques
    • A61B8/488Diagnostic techniques involving Doppler signals
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/02Measuring pulse or heart rate
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/48Diagnostic techniques
    • A61B8/485Diagnostic techniques involving measuring strain or elastic properties
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S15/00Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
    • G01S15/88Sonar systems specially adapted for specific applications
    • G01S15/89Sonar systems specially adapted for specific applications for mapping or imaging
    • G01S15/8906Short-range imaging systems; Acoustic microscope systems using pulse-echo techniques
    • G01S15/8979Combined Doppler and pulse-echo imaging systems
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30048Heart; Cardiac

Definitions

  • the present invention relates to an ultrasonic diagnostic system and a system and a method for ultrasonic imaging wherein the velocity of biological tissue such as cardiac muscle is estimated, and the estimated velocity information is processed to output local motion information of the tissue, thereby providing information useful in medical diagnosis, and in particular, it relates to a method for reducing the time and labor for operation by automatically detecting an end systole phase.
  • TTI tissue tracking imaging
  • time quadrature is required, as described in Patent Document 1. Since the result of time quadrature depends on an integration interval (time), the importance of the setting of the interval will easily be understood.
  • a start phase When integration start phase is, for example, in an end diastole phase, systolic distortion and displacement can be analyzed. Paying attention to distortion, normal cardiac muscle is thickened in the wall thickness direction (the minor axis), and shortened along the major axis during systole. In contrast, when the integration start phase is in end systole phase, diastolic distortion and displacement can be analyzed. Also paying attention to distortion, normal cardiac muscle is thinned in the wall thickness direction (the minor axis), and stretched along the major axis during systole.
  • integration end time is important second to the start time phase as a time phase that reflects the final state of distortion and displacement in specified intervals such as systole and diastole.
  • the most common way will be that the state of the whole motion by time quadrature for systole is analyzed in an end systole phase, and the state of the whole motion by time quadrature for diastole is analyzed in an end diastole phase.
  • the end diastole phase and the end systole phase must be provided as accurately as possible.
  • a technique of monopolar display of distortion is disclosed in JP-A-2003-175041, for example, as another unique application setting other than the setting of an integration interval in each phase interval of systole and diastole. To realize accurate and simple time phase setting is also very useful for the distortion monopolar display.
  • the end diastole phase and the end systole phase can be detected automatically as an R-wave phase in an electrocardiogram.
  • the end systole phase cannot easily be detected from an electrocardiogram; however, the following automatic setting technique is known.
  • DT delay time
  • HR heart rates
  • DTs decrease generally as HRs increase. Accordingly, DTs can often be set by users as a table for each HR.
  • the technique by the ACT method discloses "finding an end systole phase as a time phase in which the area or volume of a cardiac cavity is minimized" by estimating the area or volume of a cardiac cavity from positional information on endocardium that is automatically detected.
  • the ACT method cannot be applied to cross sections such as a longitudinal image of a left ventricle in which a cardiac cavity is not clearly drawn.
  • cross sections such as a longitudinal image of a left ventricle in which a cardiac cavity is not clearly drawn.
  • To increase the accuracy of time for finding an end systole phase it is preferable to obtain a cardiac-cavity volume with high accuracy.
  • only one cross section allows definition of only an area, so that it is difficult to ensure an accurate volume.
  • Multiple reference cross sections are generally required to obtain a high-accuracy volume. This is complicated technically, thus decreasing simplicity. Consequently, the ACT method cannot increase the accuracy and lacks in operability in setting cross sections because of its limitation to available cross sections.
  • the invention has been made in view of the above-described circumstances. Accordingly, it is an object of the invention to provide an ultrasonic diagnostic system and a system and a method for ultrasonic imaging capable of simple and high-accuracy automatic detection of end systole phases for all cross section images used in general cardiac ultrasonography.
  • an ultrasonic diagnostic system or an ultrasonic imaging system which includes: a storage unit that stores time-series velocity information on a moving region that repeats contraction and relaxation cyclically; and an estimation unit that estimates any desired time phase for one cycle including the contraction and relaxation of the moving region based on the time-series velocity information.
  • a method for ultrasonic imaging includes: obtaining time-series velocity information on a moving region that repeats contraction and relaxation cyclically; and estimating any desired time phase for one cycle including the contraction and relaxation of the moving region based on the time-series velocity information.
  • FIG. 1 is a block diagram of an ultrasonic diagnostic system 10 according to a first embodiment.
  • the ultrasonic diagnostic system 10 includes an ultrasonic probe 11, a transmitting unit 12, a receiving unit 13, a B-mode processing unit 14, a tissue Doppler processing unit 15, a motion-information processing unit 16, a display control unit 17, a display unit 18, an input unit 19, a storage unit 20, a control unit 21, and an input unit 22.
  • the ultrasonic probe 11 includes a plurality of piezoelectric vibrators that generates ultrasonic waves in response to a drive signal from the transmitting unit 12, and converts reflected waves from a subject to electric signals; a matching layer provided to the piezoelectric vibrators; and a backing material for preventing propagation of the ultrasonic waves from the piezoelectric vibrators to the back.
  • various harmonic components are generated with the propagation of the ultrasonic waves owing to the nonlinearity of biological tissue.
  • the fundamental waves and harmonic components that constitute transmission ultrasonic waves are scattered backward by the boundary of acoustic impedance of in vivo tissue, microscattering etc., and are received by the ultrasonic probe 11 as reflected waves (echo). Since this embodiment and the following-described embodiments explain a case of a heart being an imaged object as an example, a sector probe is used as the ultrasonic probe 1.
  • the transmitting unit 12 includes a delay circuit and a pulser circuit (not shown).
  • the pulser circuit repeatedly generates a rate pulse for forming transmission ultrasonic waves at a predetermined rate frequency fr Hz (cycle: 1/fr sec).
  • the delay circuit provides each rate pulse with a delay time necessary for converging ultrasonic waves into a beam for each channel and determining transmission directivity.
  • the transmitting unit 12 applies driving pulses to each vibrator at timing based on the rate pulses so that the ultrasonic beams are formed in the direction of a specified scan line.
  • the receiving unit 13 includes an amplifier circuit, an A/D converter, an adder and the like (not shown).
  • the amplifier circuit amplifies the echo signal taken via the probe 11 channel by channel.
  • the A/D converter provides a delay time necessary for determining reception directivity to the amplified echo signal, and thereafter, the adder performs adding process.
  • the addition generates an ultrasonic echo signal corresponding to a specified scan line.
  • the B-mode processing unit 14 applies an envelope detection process to the ultrasonic echo signal received from the receiving unit 13 to thereby generate a B-mode signal corresponding to the amplitude intensity of the ultrasonic echo signal.
  • the tissue Doppler processing unit 15 applies an orthogonal detection process, an autocorrelation process, and so on to the echo signal received from the receiving unit 13 to obtain a tissue Doppler signal corresponding to the velocity, dispersion, and power of the tissue moving in the subject on the basis of the Doppler displacement component of the ultrasonic echo signal subjected to the delay and addition process.
  • the motion-information processing unit 16 executes various processes for obtaining a motion-information image on the basis of the B-mode signal output from the B-mode processing unit 14 and the Doppler signal output from the tissue Doppler processing unit 16.
  • the motion-information processing unit 16 also executes the process of estimating a desired time phase and the process of automatically setting an integration interval by TTI method, which will be described later, using velocity-distribution images stored in the storage unit 20.
  • the display control unit 17 generates a B-mode ultrasonic image indicative of the dimensional distribution of a B-mode signal on a specified cross section.
  • the display control unit 17 also generates a tissue Doppler ultrasonic image indicative of a two-dimensional distribution of the velocity, dispersion, and power values on a specified cross section on the basis on the tissue Doppler signal.
  • the display control unit 17 also generates a superimposed image of a B-mode ultrasonic image and a tissue Doppler ultrasonic image, a superimposed image of a B-mode ultrasonic image and a two-dimensional distribution image of displacement or distortion, and so on as needed.
  • the display unit 18 displays in-vivo morphological information and blood-flow information according to a video signal from the display control unit 17 as an image.
  • the motion-information processing unit 16 displays a luminance image or a color image according to quantitative information on the spatial distribution of the contrast medium, that is, the area of blood flow or blood.
  • the input unit 19 is connected to the system main body, and includes a mouse, a track ball, a mode switch, a keyboard, and so on for bringing various instructions from the operator, such as an instruction to set a region of interest (ROI) and an instruction to set various image-quality conditions to the system main body.
  • various instructions from the operator such as an instruction to set a region of interest (ROI) and an instruction to set various image-quality conditions to the system main body.
  • ROI region of interest
  • the storage unit 20 stores ultrasonic image data (ultrasonic reception data) corresponding to each phase, a velocity-distribution image corresponding to time phases generated by the motion-information processing unit 16, and so on.
  • the ultrasonic image data assumes tissue-image data taken in a tissue Doppler mode and tissue-image data taken in other than the tissue Doppler mode.
  • the tissue image data may be so-called raw image data before scan conversion.
  • the control unit 21 has the function of an information processor (computer), and controls the operation of the ultrasonic diagnostic system body statically or dynamically.
  • the input unit 22 is connected to the system 10, and includes various switch buttons, a track ball, a mouse, a keyboard, and so on for bringing in various instructions from the operator, such as an instruction to set and change various parameters and conditions and an instruction to set a region of interest (ROI) to the system main body.
  • various switch buttons such as an instruction to set and change various parameters and conditions and an instruction to set a region of interest (ROI) to the system main body.
  • ROI region of interest
  • Tissue tracking imaging method that is the prerequisite technique of the embodiment will be briefly described.
  • the tissue tracking imaging images the parameters of local displacement and distortion obtained by integrating a signal based on velocity information, as tissue-motion information, while tracking the position of tissue which changes with motion.
  • the technique allows the image of the distortion and displacement of local cardiac muscle to be produced and displayed using, e.g., a minor-axis image, thus supporting the analysis of temporal changes in image output values for a local region.
  • the minor-axis image the main object function of cardiac analysis is thickening (change in thickness).
  • the tissue tracking imaging method adopts the concept of a contraction motion field directed to a contraction center and setting therefor to detect a component relating to the thickening by angular compensation and to image it.
  • the tissue tracking imaging method is also applicable to a temporally variable motion field by temporally shifting the contraction center position in consideration of the effects of the translational motion (also referred to as "translation") of the entire heart. This consequently allows tracking to the variations of the contract center position due to translational motion. Further details of the tissue tracking imaging method is described in JP-A-2003-175041, for example. The contents of the reference will be added to the description of the embodiment.
  • the tissue tracking imaging method requires a space-time distribution image of tissue velocities for multiple phases (an image indicative of the velocities of the positions of tissue to be diagnosed.
  • the space-time distribution image of the tissue velocities (hereinafter, simply referred to as "a velocity-distribution image”) can be generated from two-dimensional or three-dimensional ultrasonic image data on multiple time phases collected by tissue Doppler imaging, or alternatively, can be obtained by giving pattern-matching to multiple two-dimensional or three-dimensional tissue images on multiple time phases collected by the B-mode processing unit or the like.
  • the embodiment uses a two-dimensional velocity distribution image produced by the tissue Doppler imaging (TDI) to provide a concrete description.
  • tissue Doppler imaging TDI
  • the invention is not limited to that, but may use a three-dimensional velocity distribution image produced by tissue Doppler imaging, for example, or a two-dimensional or three-dimensional velocity distribution image produced by pattern matching.
  • the embodiment uses a heart as an diagnostic object by way of example. Accordingly, most of tissue velocities obtained by tissue tracking imaging can be regarded as myocardial velocity.
  • the time-phase estimating function of the ultrasonic diagnostic system 10 will be described.
  • the time-phase estimation is for analytically estimating, for example, various time phases, which are clinically important, using phase-to-phase velocity distribution images stored in the storage unit 20.
  • estimation of an end systole phase will be described below to simplify the description as an example, in addition to that, the ultrasonic diagnostic system 10 can estimate an S-wave generation phase, an E-wave generation phase, a time phase in which the velocity reaches a specified velocity on the rising edge from E-wave, an A-wave generation phase, and any other phases specified by clinical characteristics.
  • FIG. 2 is an explanatory diagram of the function of estimating end systole phase ES, showing a graph indicating the temporal changes of a myocardial velocity.
  • the end systole phase ES be estimated by specifying a time phase in which
  • the myocardial velocity for example the sum of the velocities at the positions of the cardiac muscle in the ROI set in the ultrasonic image (TDI image), as shown in FIG. 3, or the sum of the absolute values of the velocities at the positions of the cardiac muscle in the ROI (that is,
  • the myocardial velocity is defined as the sum of the velocities at the positions of the cardiac muscle in the ROI
  • the tissue velocity of the components toward beams can be found by the tissue Doppler imaging, so that the motion of tissue may be not always small if the sum is small.
  • the velocity in this estimation is high, a time phase in which the motion of cardiac tissue stands still can be detected approximately.
  • the myocardial velocity is defined as the sum of the
  • the component of motion is added as the absolute value in all cases, so that, although complicated, a time phase in which the motion of cardiac tissue stands still can be detected more accurately.
  • the estimation object period be controlled depending on the heart rate HR because the time per one heartbeat varies among individuals.
  • an estimation-object-period start phase (start phase) and the width of the estimation object period from the start phase be stored in the storage unit 20 in advance as a table for heart rates, as shown in FIG. 4, and the motion-information processing unit 16 automatically determine the estimation object period on the basis of the heart rate obtained from an electrocardiogram (ECG) or input from the input unit 19 and the table.
  • ECG electrocardiogram
  • an integration-interval start phase by the TTI and the width of the estimation object period may be set by a predetermined function using a heart rate as a variable.
  • the end systole phase ES thus estimated is displayed in a specified form.
  • FIG. 5 is a graph of an example of the relationship between the end systole phase ES, indicated by ES-phase line L, and an electrocardiographic complex. This allows the user to easily grasp the position of the end systole phase ES throughout the heartbeat.
  • the automatic setting is for automatically setting a cardiac phase interval, which can be an integration interval when a systole, a diastole, a cardiac cycle, and other motion information are calculated by the TTI method, based on the estimated end systole phase ES and an R-wave phase found by an ECG. This allows the motion information defined by time quadrature in TTI method to be analyzed and acquired easily.
  • FIG. 6 is a diagram of an example in which the latest systole 2 is automatically set as an integration interval by TTI method.
  • the motion-information processing unit 16 first regards the R-wave phase in each heartbeat detected by an ECG as an end diastole, and estimates the R-ES phase interval as a systole using the end diastole and the end systole phase ES obtained by the estimation, estimates the ES-R phase interval as a diastole, and estimates the R-R phase interval as one heart cycle.
  • the motion-information processing unit 16 automatically sets the R2-wave phase that is the start phase of the latest systole 2 among the estimated phase intervals as the lower limit t0 of the integration interval, and sets the end systole phase ES2 that is the end time of the latest systole 2 as the upper limit tend of the integration interval.
  • FIG. 7 is a diagram of an example in which the latest diastole 2 is automatically set as an integration interval by TTI method.
  • the motion-information processing unit 16 automatically sets the end systole phase ES2 that is the start phase of the latest diastole 2 among the estimated phase intervals as the lower limit t0 of the integration interval, and sets the R3-wave phase that is the end time of the latest diastole 2 as the upper limit tend of the integration interval.
  • FIG. 8 is a diagram of an example in which the latest cardiac cycle is automatically set as an integration interval by TTI method.
  • the motion-information processing unit 16 automatically sets the R2-wave phase that is the start phase of the latest cardiac cycle 2 among the estimated phase intervals as the lower limit t0 of the integration interval, and sets the R3-wave phase that is the end time of the latest cardiac cycle 2 as the upper limit tend of the integration interval.
  • the one cardiac cycle may not necessarily use the R-wave generating phase as the reference, and may use the end systole phase ES or the like, for example.
  • the selection of the integration interval among the systole, the diastole, and the one cardiac cycle described above is executed in such a manner that the user checks one of the items "one cardiac cycle (R-R)", “systole”, and "diastole”, as shown in FIG. 5.
  • Another unique application setting other than the setting of an integration interval in each selected phase interval is then automatic switching of distortion monopolar display, for example. This allows automatic optimization of not only the setting of the object interval but also other accompanying settings, depending on the object cardiac phase interval, saving the user from controlling various settings manually to increase the simplicity of the operation.
  • the various object cardiac phase intervals estimated by the object cardiac-phase-interval estimation process agree with actual end systole phases with high accuracy. However, if the estimated end systole phase ES has an error, the integration interval may be fine-tuned manually, e.g., with reference to the ES-phase line L on the graph shown in FIG. 5, or may be set manually to applications.
  • FIG. 9 is a flowchart for the procedure of a series of processes of the TTI including automatic time-phase estimation. As shown in FIG. 9, imaging by tissue Doppler echo cardiography is executed to generate a velocity distribution image for each time phase according to obtained echo signals (step S1).
  • the motion-information processing unit 16 next sets an estimation object period on the basis of a heart rate HR obtained from, e.g., an electrocardiogram. Also, a region of interest for finding a myocardial velocity is set on an TDI image by the manual operation of an operator. (step S2).
  • the motion-information processing unit 16 calculates the absolute value of the myocardial velocity (
  • the motion-information processing unit 16 estimates a systole, a diastole, and one cardiac cycle from an R-wave generation phase obtained from an electrocardiogram and the estimated end systole phase (step S5), and automatically sets an integration interval on the basis of the obtained estimation result (step S6).
  • the motion-information processing unit 16 then executes time quadrature in the automatically set integration interval to thereby calculate cardiac motion information including a distortion, a distortion factor, and a displacement (step S7), and for example generates a distortion image in each time phase based on the result and displays it on the display unit 18 (step S8).
  • the ultrasonic diagnostic system allows automatic estimation of, e.g., a desired time phase, which is important clinically, using phase-to-phase velocity-distribution images.
  • the automatic estimation can be executed in an appropriate manner using velocity information.
  • the operator can therefore set a desired time phase necessary for examination with high accuracy and easily.
  • This system can also achieve highly objective phase setting without variation in information due to the difference of the operator as compared with the conventional manual phase setting, thus improving the quality of diagnostic information.
  • the ultrasonic diagnostic system determines the integration interval of motion information defined by time quadrature in TTI method using an automatically set desired time phase. This can provide highly objective motion information in TTI method, and reduce the work of the operator in setting integration intervals. Particularly, the ultrasonic diagnostic system can automatically separate a systole and a diastole from each other using an automatically detected end systole phase and an end diastole phase that is automatically detected from an electrocardiogram. Accordingly, highly objective quantitative evaluation method by local-wall-motion indices such as distortion and displacement using a tissue velocity can be quickly achieved by a simpler operation.
  • the invention is not limited to the foregoing embodiment and can be embodied in an actual step by modification of the components without deviating from the gist.
  • an ultrasonic diagnostic system and a system and a method for ultrasonic imaging capable of simple and high-accuracy automatic detection of end systole phases for all cross-section images used in general cardiac ultrasonic examinations as described above.

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EP05745493A 2004-05-31 2005-05-31 Ultrasonographe, dispositif de traitement d'image ultrason et méthode de traitement d'image ultrason Expired - Lifetime EP1652477B1 (fr)

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JP2004161794A JP2005342006A (ja) 2004-05-31 2004-05-31 超音波診断装置、超音波画像処理装置、及び超音波信号処理プログラム
PCT/JP2005/009966 WO2005115249A1 (fr) 2004-05-31 2005-05-31 Ultrasonographe, dispositif de traitement d’image ultrason et méthode de traitement d’image ultrason

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EP1652477A1 true EP1652477A1 (fr) 2006-05-03
EP1652477A4 EP1652477A4 (fr) 2007-08-08
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WO2009013686A3 (fr) * 2007-07-26 2009-04-02 Koninkl Philips Electronics Nv Systèmes et méthodes pour la sélection automatisée d'images dans les systèmes d'imagerie doppler à ultrasons
EP2266464A1 (fr) * 2009-06-26 2010-12-29 Kabushiki Kaisha Toshiba Appareil de diagnostic à ultrasons et procédé fournissant des informations sur le support de diagnostic à ultrasons
EP2138103A4 (fr) * 2008-02-25 2012-02-22 Toshiba Kk Dispositif de diagnostic ultrasonique, dispositif d'imagerie ultrasonique, et support d'enregistrement pour l'enregistrement de programme d'imagerie ultrasonique
EP3571999A1 (fr) * 2018-05-14 2019-11-27 Canon Medical Systems Corporation Appareil de diagnostic à ultrasons et support de stockage

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US7695439B2 (en) * 2005-08-22 2010-04-13 Siemens Medical Solutions Usa, Inc. Automated identification of cardiac events with medical ultrasound
JP4805669B2 (ja) * 2005-12-27 2011-11-02 株式会社東芝 超音波画像処理装置及び超音波画像処理装置の制御プログラム
KR20090013199A (ko) * 2006-05-25 2009-02-04 코닌클리케 필립스 일렉트로닉스 엔.브이. 3차원 심장 초음파 검사의 형상 분석
JP4690361B2 (ja) * 2007-05-28 2011-06-01 富士フイルム株式会社 心臓機能解析装置、方法およびそのプログラム
ATE507777T1 (de) * 2007-08-30 2011-05-15 Univ Oslo Hf Automatisierte überwachung der herzmuskelfunktion mit auf dem herz positionierten ultraschallwandlern
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